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Rの基礎
~ データ型とデータ構造 ~
吉田 敦
2014年5月21日
1
1. Rのデータ型
2
logical, integer, double, complex, character, etc.
データ型
3
type
logical
integer
double
complex
character
type
R言語固有のオブジェクト定義
論理値
整数
実数
複素数
文字列
データ型
4
type mode
logical logical
integer numeric
double numeric
complex complex
character character
mode
S言語との互換性のために存在する. S言語でのデータ型
論理値
整数
実数
複素数
文字列
データ型
5
type mode storage mode
logical logical logical
integer numeric integer
double numeric double
complex complex complex
character character character
storage mode
メモリ保存形式を示す. CやFortranとの連携の際に用いる
typeof() mode() storage.mode()型判別
論理値
整数
実数
複素数
文字列
2. Rのデータ構造
6
vector, matrix, array, list, data.frame
データ構造
7
1D
2D
3D~
same type different types
vector
matrix data.frame
list
array
c(0, 5, 2, 1)
matrix(
c(1:4, 3:4, 5:3, 7:5),
nrow=3, ncol=4)
data.frame(
field1 = 1:3,
field2 = c("A", "T", "A"),
field3 = c(5, 2, 1),
field4 = c("I", "L", "R”))
list(3,"A”,4,"B”)
0 5 2 1
1 4 5 7
2 3 4 6
3 4 3 5
3 A 4 B
1 A 5 I
2 T 2 L
3 G 1 R
dim属性を
付加
同次元
列ベクトル
を結合
各要素の
同次元
ベクトル
を結合
データ構造
8
1D
2D
3D~
same type different types
vector
matrix data.frame
list
array
c(0, 5, 2, 1)
matrix(
c(1:4, 3:4, 5:3, 7:5),
nrow=3, ncol=4)
data.frame(
field1 = 1:3,
field2 = c("A", "T", "A"),
field3 = c(5, 2, 1),
field4 = c("I", "L", "R”))
list(3,"A”,4,"B”)
0 5 2 1
1 4 5 7
2 3 4 6
3 4 3 5
3 A 4 B
1 A 5 I
2 T 2 L
3 G 1 R
dim属性を
付加
同次元
列ベクトル
を結合
各要素の
同次元
ベクトル
を結合
各要素が
「部屋」という
入れ物を
イメージする
各部屋の中が
同次元ベクトル
であれば結合し
て表現できる
3. まとめ
9
まとめ
10
 numericは, R本来のデータ型とは異なるが, よく考えられる型の1つ
である
 最低限, 「数値はnumeric、文字列はcharacter」ということさえ覚え
ておけばなんとかなる
 matrix(and array)は, vectorにdim属性を付加した構造である
 data.frameは, listの特殊な場合であり, また同次元のvectorを結合し
たものである
データ型
データ構造

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Rの基礎(データ型とデータ構造)